Health analytics or healthcare analytics as it is popularly called involves the use of a large chunk of data in improving the health service industry. The data needed for health analytic include; financial data, human resource data, supply chain data and many others.
Since there are several and sometimes complex interdependencies that affect a medical outcome, health analytics aims to provide useful knowledge on the interdependencies or factors that have an impact on a medical outcome. The information given by health analytic companies becomes very helpful in developing standards that would improve the healthcare industry, as well as provide the needed advice to government agencies during policy making.
Health analytics became increasingly popular with increasing social impact of healthcare service delivery on the citizens of a nation. Private industries, therefore, required little government support in venturing into health analytics, due to the positive impact it had in decision making for improved health service and product sales.
The importance of health analytic affects both the health service providers and the consumers. The government is also able to make more informed decisions for an improved living condition of the populace. The importance of health analytics is further described below;

Standardized IT Infrastructure
Health analytics helps to recommend standards in data collection that would facilitate easy access to large data by organizations and research agencies interested in the improvement of the health sector.
Enhanced Data Integration
Health analytics helps to oversee data from different sources that are vital for the improvement of the health industry. The data integrated when analyzed can be used to make beneficial government policies based on the result of analyzed data, thereby enhancing the lives of citizens.
Future Medical Predictions
Through health analytics, it becomes easier for medical researchers to make future predictions on the health industry. Individuals who are more prone to certain illnesses can better handle such illnesses through the future prediction capability of health analytics, as it can draw similar patterns of health issues among different individuals.
Increased Market Value
Health analytics gives insight to health service providers in the areas of service delivery with higher commercial value. It also provides the strategies that would be effective in the marketing of health services; this is because of adequate knowledge in the areas of consumer needs.

Increased Market Value
Health analytics gives insight to health service providers in the areas of service delivery with higher commercial value. It also provides the strategies that would be effective in the marketing of health services; this is because of adequate knowledge in the areas of consumer needs.
TOOLS
There are several available tools for health analytic which include;
MedeAnalytics
This tool provides valuable detail on health care cost for an individual as well as adequate information on the performance of a physician.
MEDai Health
MEDai Health helps in good decision making about financial, and administrative processes. It keeps a good record of the details of patients and also provides useful information on health administration policies.
Truven Health Analytics
This helps for medical data integration from several sources, as well as providing an organized result that would enhance an informed decision-making process for healthcare seekers.

CONCLUSION
It is expected that in less than a decade from now, the health analytic industry would double its present value. Manufacturing industries now have an increasing demand for health analytics; this is due to the effect it has on product sales, profitability and improved living condition of customers.

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